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Docs updates for HUB, YOLOv4, YOLOv7, NAS (#3174)

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Sergiu Waxmann 2023-06-15 21:17:10 +02:00 • committed by GitHub
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docs/tasks/detect.md
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@ -1,6 +1,7 @@
---
comments: true
description: Learn how to use YOLOv8, an object detection model pre-trained with COCO and about the different YOLOv8 models and how to train and export them.
keywords: object detection, YOLOv8 Detect models, COCO dataset, models, train, predict, export
---
Object detection is a task that involves identifying the location and class of objects in an image or video stream.
@ -167,4 +168,4 @@ Available YOLOv8 export formats are in the table below. You can predict or valid
| [TF.js](https://www.tensorflow.org/js) | `tfjs` | `yolov8n_web_model/` | ✅ | `imgsz` |
| [PaddlePaddle](https://github.com/PaddlePaddle) | `paddle` | `yolov8n_paddle_model/` | ✅ | `imgsz` |
See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.
See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.